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app.py

@@ -57,7 +57,7 @@ from datetime import datetime
 api_key = os.environ.get("API_KEY")
 endpoint = os.environ.get("OPENAI_API_BASE")
 llama_api_key = os.environ.get("GROQ_API_KEY")
-MEM0_api_key = os.environ.get("MEM0")
+MEM0_api_key = os.environ.get("mem0")
 
 # Initialize the OpenAI embedding function for Chroma
 embedding_function = chromadb.utils.embedding_functions.OpenAIEmbeddingFunction(
@@ -519,13 +519,13 @@ class NutritionBot:
         """
 
         # Initialize a memory client to store and retrieve customer interactions
-        self.memory = MemoryClient(api_key=os.getenv("mem0"))  # Complete the code to define the memory client API key
+        self.memory = MemoryClient(api_key=os.environ.get("mem0"))  # Complete the code to define the memory client API key
 
         # Initialize the OpenAI client using the provided credentials
         self.client = ChatOpenAI(
             model_name="gpt-4o-mini",  # Specify the model to use (e.g., GPT-4 optimized version)
-            api_key=os.getenv("API_KEY"),  # API key for authentication
-            openai_api_base = os.getenv("OPENAI_API_BASE"),
+            api_key=os.environ.get("API_KEY"),  # API key for authentication
+            openai_api_base = os.environ.get("OPENAI_API_BASE"),
             temperature=0  # Controls randomness in responses; 0 ensures deterministic results
         )